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Mating context and menstrual phase affect women's preferences for male voice pitch

David Andrew Puts

1. Introduction

2. Methods

2.1. Participants

2.2. Procedures

2.2.1. Male participants: VP in competition for mates

2.2.2. Female participants: rating vocal attractiveness

2.3. Data treatment

2.3.1. Conception risk

2.3.2. Male attractiveness scores

2.3.3. Number of sexual partners

2.4. Analyses

3. Results

4. Discussion

Acknowledgment

References

Copyright

1. Introduction

Voice pitch is the most salient acoustic feature of human speech (Banse & Scherer, 1996). Voice pitch is also sexually dimorphic; males speak up to an octave lower than females do, on average (e.g., Klatt & Klatt, 1990). This sexual dimorphism is not due merely to sex differences in body size. Relative to both height and body volume, vocal fundamental frequency (F0, the acoustic parameter most closely related to pitch) is lower in adult males than in adult females and prepubescent children of both sexes (Titze, 2000).

The proximate and developmental causes of this male secondary sex characteristic are known. Adult males have 60% longer membranous portions of the vocal folds, which vibrate at a lower F0. Vocal anatomy is masculinized under the influence of pubertal androgens, which cause males' vocal folds to increase in size faster than the overall rate of body growth (Hollien, 1960). Moreover, circulating androgens appear to maintain masculine vocal fold morphology in adults; F0 correlates negatively with androgen levels in men (Dabbs & Mallinger, 1999) and decreases with androgen treatment (Need, Durbridge, & Nordin, 1993).

By contrast, little is known about why men evolved this developmental pattern. Some evidence suggests that low F0 increased males' attractiveness to females. Oguchi and Kikuchi (1997) found that male voices rated as highly attractive by Japanese university students were significantly lower in voice pitch (VP) than were the voices rated as less attractive. Additionally, Collins (2000) found that Dutch women rated lower male voices as being significantly more attractive. However, because of their correlational designs, these studies could not demonstrate that pitch (P), in itself, affects vocal attractiveness.

Nonetheless, if female choice shaped male VP over human evolution, this preference requires explanation. Mate preferences are costly and generally evolve because they provide compensatory benefits (Andersson, 1994). In many species, female preferences apparently function in recruiting mates of high genetic quality, and androgen-dependent traits are often the foci of such preferences (Andersson, 1994). The degree of expression of androgen-dependent traits may signal fitness because androgens are immunosuppressant (Grossman, 1985) and can be produced at high levels only by otherwise healthy individuals (Folstad & Karter, 1992; see also Zahavi & Zahavi, 1997). Evidence from nonhuman animals (reviewed in Andersson, 1994) and humans (e.g., Gangestad & Thornhill, 2003, Scheib et al., 2003) suggests that some masculine traits are reliable fitness indicators, and genetic transmission of these fitness benefits has been demonstrated in some species (e.g., Norris, 1993, Reynolds & Gross, 1992).

In humans, female preferences for androgen-dependent (masculine) features show signs of complex design (Williams, 1966) for recruiting good genes. For example, women's mate preferences vary with probability of conception, such that women in the follicular (fertile) phase of their menstrual cycles exhibit preference shifts toward more masculine facial features (Johnston et al., 2001, Penton-Voak et al., 1999, Penton-Voak & Perrett, 2000) and odors (Grammer, 1993). Moreover, women's preferences for androgen-dependent features may be greater when evaluating men as short-term sex partners rather than as long-term mates (Penton-Voak et al., 1999; reviewed in Penton-Voak & Perrett, 2001). Because low VP is androgen dependent, it may also signal heritable fitness, and women's preferences for low VP may similarly depend on mating context and menstrual phase. Indeed, some studies have found that women prefer the voices of men who carry other fitness markers, such as external body symmetry and a high shoulder-to-hip ratio (Hughes et al., 2004, Hughes et al., 2002).

The present study thus evaluates the predictions of one hypothesis for the evolution of low voice pitch in human males: Women prefer males with low voices because VP reflected heritable fitness in ancestral environments. Specifically, I test whether low male VP (1) increases short-term, sexual attractiveness more than long-term relationship attractiveness, (2) is more attractive to women nearer peak fertility, and (3) predicts higher mating success. Unlike previous studies (Collins, 2000, Oguchi & Kikuchi, 1997), this study uses an experimental, rather than correlational, design by examining the effects of computer-based pitch manipulations on attractiveness ratings.

2. Methods

2.1. Participants

One hundred eleven male and 142 female self-identified heterosexual undergraduate students from the University of Pittsburgh participated. The mean age of the males was 18.9 years (range=18–24, S.D.=1.2), and the mean age of the females was 19.1 years (range=18–30, S.D.=1.7). Male participants were native English-speaking nonsmokers who reported not being involved in committed relationships. Female participants reported not taking hormonal contraception and having regular menstrual cycles.

2.2. Procedures

2.2.1. Male participants: VP in competition for mates

To create more ecologically valid stimuli for female raters than the stimuli used in previous studies (Collins, 2000: vowel recitation; Oguchi & Kikuchi, 1997: sentence reading), male participants were recorded attempting to attract a female in a protocol similar to that of Simpson, Gangestad, Christensen, and Leck (1999; see also, Puts, Gaulin, Sporter, & McBurney, 2004). Upon arrival at the voice laboratory, each male participant was seated at a computer monitor in a soundproof recording room (approximately 2.5×3 m). The participant received a combination headphone/headset microphone, and the experimenter's recorded voice instructed him that he would be competing to win a lunch date with a woman in another room. In actuality, the participant saw a previously recorded video of a woman. The participant's voice was recorded using GoldWave digital audio software as he described himself to the woman (courtship recording).

Average F0 was later measured from each “courtship” recording using Praat voice analysis software, which uses an acoustic periodicity detection algorithm based on an autocorrelation method described in Boersma (1993). Parameters were set to a pitch floor of 75 Hz and a pitch ceiling of 300 Hz, with all other values set to default. Each courtship recording (mean length=20.5 s, mean F0=112.7 Hz, range=82.9–158.9 Hz) was then both raised one semitone and lowered one semitone in P without affecting tempo using the sound-editing program, CoolEdit 2000, and saved as separate sound files. Praat pitch analysis validated F0 manipulations. A one semitone pitch shift change corresponded to slightly more than twice the just noticeable difference (JND) with this sound-editing program (Gaulin and Puts, unpublished data), thus, P manipulations produced audible differences. However, no rater reported any suspicion of recordings having been altered. Thus, for each male, three courtship recordings differing in P were produced. Because one unmodified recording was not lowered in P due to experimenter error, this resulted in a total of 332 courtship recordings (F0 range=78.2–168.4 Hz).

Courtship recordings were divided into 9 sets of 30 and 2 sets of 31 recordings (11 sets total) to be used as stimuli for female raters. Recordings were divided among stimulus sets so that each set included (1) no more than one version of a single male participant's recording and (2) nearly equal numbers of raised, lowered, and unmodified recordings (from different participants). To minimize order effects, recordings alternated regularly between raised, lowered, and unmodified recordings, and as much as possible, different versions of individual male participants' recordings were located in the same (randomly determined) positions within complementary stimulus sets.

After the dating “competition” recordings, male participants were given a questionnaire designed to assess mating success and several variables relevant to another study. Mating success was assessed by the number of female sex (sexual intercourse) partners the men reported for the past year (Faurie et al., 2004, Pérusse, 1993). Eight participants did not answer this item.

2.2.2. Female participants: rating vocal attractiveness

Female raters attended rating sessions (12.9±2.3 raters per session) in audio-equipped classrooms. Raters received rating sheets for evaluating the sexual attractiveness and long-term relationship attractiveness of male voice recordings. The experimenter explained the importance of obtaining independent ratings and directed raters not to react audibly or visibly to recordings or to pay attention to others. The experimenter then played a compact disc of the following: (1) a description of the stimulus set: approximately 30 recordings of men attempting to win a date with a woman; (2) instructions to listen to each recording and then rate each man's attractiveness, first for a “short-term, purely sexual relationship, such as a one-night stand,” and then for a “long-term, committed relationship;” (3) five sample recordings illustrating the range of variation; (4) 30 or 31 modified and unmodified courtship recordings of males, each followed by 10 seconds of silence for the rating task; and (5) instructions to fill out a questionnaire. All recorded instructions were spoken by a 25-year-old female in a pleasant, professional tone.

Raters assessed attractiveness by placing a mark anywhere on a line from extremely unattractive to extremely attractive. One hundred unlabelled tick marks on each line enabled the experimenter to assign values from 0 to 100 for attractiveness ratings according to the placement of the rater's mark. Due to a missing rating sheet, one rater evaluated only 24 recordings. Raters were also asked to circle the number of days in their typical menstrual cycle on a list ranging from <22 to >38 and to circle the date of onset of their last menstrual bleeding on a calendar. These methods have been found to reduce reporting errors for menstrual cycle data (Gangestad, personal communication).

2.3. Data treatment

2.3.1. Conception risk

Menstrual cycle information was used to estimate conception risk according to the following method. First, each rater's day of ovulation within her current cycle was estimated by calculating the expected onset of her next menstrual bleeding and assuming that ovulation occurs 15 days prior (Dixon, Schlesselman, Ory, & Blye, 1980). Next, each rater's cycle day relative to ovulation was calculated (e.g., 0=day of, −2=2 days before, and 2=2 days after ovulation), and a conception risk value was assigned accordingly. Conception risk is the probability of conception from a single act of unprotected intercourse on a particular day relative to ovulation. These probabilities were obtained by averaging daily fecundability estimates from five published medical studies (Bremme, 1991, Colombo & Masarotto, 2000, Schwartz et al., 1980, Wilcox et al., 1995, Wilcox et al., 1998) and weighting each estimate by the reported number of cycles resulting in pregnancies (919 total cycles). To obtain more reliable conception risk estimates, six women who reported cycle lengths greater than 35 days (2 S.D. above the mean of 29.2 days) were eliminated from subsequent analyses. Raters were divided into “fertile” and “nonfertile” groups, following Gangestad and Thornhill (1998). Thirty-eight women, estimated to be within 6 days before and 1 day after ovulation, were included in the fertile group (mean conception risk=0.155, S.D.=0.089). The remaining 98 women were included in the nonfertile group (conception risk <0.01).

2.3.2. Male attractiveness scores

Courtship recordings received attractiveness scores for short- and long-term relationships, by fertile and nonfertile raters. Thus, courtship recordings received four attractiveness scores: short-term/fertile, short-term/nonfertile, long-term/fertile, and long-term/nonfertile. For each recording, the four attractiveness scores were obtained by averaging the ratings given by each set of women considering each mating context. To increase comparability between recordings rated by different groups of females, each female's ratings were normalized to zero before being used to calculate male attractiveness scores. That is, the mean (short- or long-term) rating made by a rater was subtracted from each of her (short- or long-term) ratings. Thus, a female's normalized ratings included negative (those she rated below her mean rating) and positive values (those she rated above her mean rating). The attractiveness scores for a particular courtship recording, then, are the average of the normalized ratings made by the females who listened to it. Normalization did not alter the results.

2.3.3. Number of sexual partners

Because number of sexual partners was positively skewed, this variable was log transformed to produce a distribution that did not differ significantly from normality.

2.4. Analyses

Analyses examined relationships between VP, attractiveness ratings, and number of sexual partners. Because directional predictions could be made in all cases, p values are one tailed and considered statistically significant if <.05.

3. Results

An initial regression analysis revealed a moderate but significant linear relationship—and, in each case, a less significant quadratic relationship—between unmanipulated VP and each of the four categories of attractiveness ratings (short-term/fertile, short-term/nonfertile, long-term/fertile, and long-term/nonfertile). Linear relationships between F0 (predictor variable) and attractiveness ratings ranged from p=.003, β=−.27, and r2=.07 for short-term/fertile to p=.036, β=−.17, and r2=.03 for long-term/nonfertile (p=.023, β=−.22, and r2=.05 for short-term/nonfertile; p=.006, β=−.26, and r2=.07 for long-term/fertile; n=111 male voices for all regressions). Thus, at least over the normal range, male VP appears to be linearly and negatively associated with attractiveness ratings.

When the voices experimentally raised by one semitone were compared with the same voices lowered by one semitone under each of the four mating context-by-fertility conditions, multifactor repeated-measures analysis of variance (ANOVA) revealed no significant main effect of P manipulation [F(1,106)=1.31, n.s.]. On the other hand, there was a significant three-way interaction between P manipulation, mating context, and fertility [F(1,106)=3.24, p=.037], as predicted (Fig. 1). Lowered-P recordings obtained significantly higher attractiveness scores than did the raised-P recordings only for short-term/fertile attractiveness [paired t(106)=2.09, p=.020]. Equivalent comparisons showed that lowered- and raised-P recordings did not differ significantly in long-term/fertile [t(106)=0.37, n.s.], long-term/nonfertile [t(106)=0.47, n.s.], or short-term/nonfertile [t(109)=1.11, n.s.] attractiveness scores. A significant two-way interaction was also found between P manipulation and mating context [F(1,106)=8.61, p=.002] but not between P manipulation and fertility [F(1,106)=0.88, n.s.].


View full-size image.

Fig. 1. Three-way interaction between P manipulation, relationship context, and fertility [F(1,106)=3.24, p=.037]. VP manipulation significantly affected attractiveness ratings only for women in the fertile phase of their cycles evaluating men for short-term, sexual relationships [paired t(106)=2.09, p=.020].


Finally, unmanipulated VP (measured by F0) negatively predicted male participants' self-reported number of sexual partners over the past year [Pearson's r(103)=−.17, p=.043].

4. Discussion

Women prefer the utterances of men who speak at a low pitch. This conclusion is supported by previous studies (Collins, 2000, Oguchi & Kikuchi, 1997) as well as by the present study, in which significant negative linear relationships were observed between the F0 of spontaneous male utterances and women's ratings of those utterances. However, these correlations do not appear to be driven by an effect of VP itself on attractiveness ratings. In the present study, variations among utterances, such as those due to content, tempo, amplitude, enunciation, and accent, were experimentally controlled by manipulating VP and comparing utterances to themselves at a different P. The result was that VP had no main effect on attractiveness ratings.

Although experimental P manipulation did not influence attractiveness to females as a main effect, it did affect attractiveness under specific conditions. This was demonstrated by a significant three-way interaction between P manipulation, mating context, and fertility status. Lowered-P voices were significantly more attractive than the same voices raised in P, but only to women in the fertile phase of their ovulatory cycles, rating the men's voices with respect to a short-term mating context. Attractiveness ratings of lowered-P and raised-P voices did not differ in any other mating context-by-fertility status condition.

A significant two-way interaction was also found between VP manipulation and mating context. An order effect of rating short-term attractiveness before long-term attractiveness seems unlikely to explain this result because VP would have had to affect ratings differently depending on rating order. More probably, VP has a greater effect on sexual attractiveness than it does on attractiveness for committed relationships. The increased importance of VP for short-term mating contexts may help explain why men who spoke at a lower F0 reported more sexual partners in the past year.

The above evidence is consistent with the hypothesis that women prefer fertile-phase sexual liaisons with low-voice-pitch males because such behavior acquired favorable genes for the offspring of ancestral females. Males who are putatively of high genetic quality (those with high testosterone levels) appear to invest less in their mates (reviewed in Penton-Voak & Perrett, 2001, Puts, 2003). It may, therefore, have benefited ancestral females to prefer such males primarily for sexual, rather than committed, relationships and mainly during the fertile menstrual phase.

The present study thus supports the role of female mate choice for good genes in shaping male voice pitch. However, alternative interpretations are possible. For example, low voices may have helped ancestral males win mates through male dominance competition (Ohala, 1982, Ohala, 1983, Ohala, 1984, Puts, in review). This explanation does not account for the observed menstrual- and mating context-related patterns in women's preferences for male voice pitch, but the two explanations are not mutually exclusive.

Male voice pitch and female preferences for it could also have evolved via Fisherian “runaway sexual selection” (Fisher, 1930). According to this model, the heritable benefit associated with a male trait is increased attractiveness of sons. Although a widespread sexual preference of fertile-phase women could plausibly maintain low male VP in human populations, this hypothesis does not explain how the female preference became widespread in the population. According to Fisher (1930), a female preference initially spreads because the preferred male trait is linked to some other selective benefit. As suggested above, masculine traits such as low VP may be linked to heritable health (see Section 1). Additionally, some evidence indicates an association between fertilization ability and the expression of testosterone-dependent traits such as low VP in nonhuman animals (Andersson, 1994) and humans (Puts, in press). For example, in the Australian frog Uperoleia laevigata, females prefer larger males, which produce lower frequency calls and leave fewer eggs unfertilized (Robertson, 1990). An association between fertilization ability and VP in men could also select for mating context- and fertility status-related variation in women's preferences for male VP (Puts, in press).

In summary, women in the fertile phase of their menstrual cycles prefer low male voice pitch in short-term mating contexts, and males who speak at lower pitches when courting females report more sexual partners. Female preferences are thus likely to have been important selection pressures on male voice pitch and probably contributed to human sexual dimorphism in this trait, although male dominance competition may also have been involved. Female preferences for low male VP may have evolved because males with a low VP offer increased fertilization ability or heritable benefits, including healthier and more attractive offspring.

Acknowledgments

I thank Steve Gaulin for many helpful comments on previous drafts; Katherine Verdolini for methodological and logistic support; Steve Gangestad for advice regarding menstrual cycle data collection; Lisa Brevard, Rachel Chandler, Christina Jerzyk, Jerome Lee, Rebecca Prosser, John Putz, Melinda Putz, and Linda Snyder for their generous assistance during various phases of experiment preparation and data collection; and Martin Daly, Vera Kempe, Margo Wilson, and two anonymous reviewers for their constructive comments.

References

return to Article Outline

Andersson, 1994 1.Andersson M. Sexual selection. Princeton, NJ: Princeton University Press; 1994;.

Banse & Scherer, 1996 2.Banse R, Scherer KR. Acoustic profiles in vocal emotion expression. Journal of Personality and Social Psychology. 1996;70:614–636. MEDLINE | CrossRef

Boersma, 1993 3.Boersma P. Accurate short-term analysis of the fundamental frequency and the harmonics-to-noise ratio of a sampled sound. Proceedings of the Institute of Phonetic Sciences. 1993;17:97–110.

Bremme, 1991 4.Bremme, J. (1991). Sexualverhalten und Konzeptionswahrscheinlїchkeit (Auswertung einer prospektiven Studie zur Natürlichen Familienplanung), thesis, Med. Fakultät der Heinrich-Heine-Universität, Dusseldorf.

Collins, 2000 5.Collins SA. Men's voices and women's choices. Animal Behaviour. 2000;60:773–780. CrossRef

Colombo & Masarotto, 2000 6.Colombo B, Masarotto G. Daily fecundability: First results from a new data base. Demographic Research. 2000;3:(Internet edition).

Dabbs & Mallinger, 1999 7.Dabbs JM, Mallinger A. High testosterone levels predict low voice pitch among men. Personality and Individual Differences. 1999;27:801–804.

Dixon et al., 1980 8.Dixon GW, Schlesselman J, Ory HW, Blye RP. Ethinyl estradiol and conjugated estrogens as postcoital contraceptives. JAMA. 1980;244:1336–1339. MEDLINE

Faurie et al., 2004 9.Faurie C, Pontier D, Raymond M. Student athletes claim to have more sexual partners than other students. Evolution and Human Behavior. 2004;25:1–8.

Fisher, 1930 10.Fisher RA. The genetical theory of natural selection. Oxford: Clarendon Press; 1930;.

Folstad & Karter, 1992 11.Folstad I, Karter AJ. Parasites, bright males and the immuno-competence handicap. American Naturalist. 1992;139:603–622. CrossRef

Gangestad & Thornhill, 1998 12.Gangestad SW, Thornhill R. Menstrual cycle variation in women's preferences for the scent of symmetrical men. Proceedings of the Royal Society of London B. 1998;265:927–933.

Gangestad & Thornhill, 2003 13.Gangestad SW, Thornhill R. Facial masculinity and fluctuating asymmetry. Evolution and Human Behavior. 2003;24:231–241.

Grammer, 1993 14.Grammer K. 5-alpha-androst-16en-3alpha-on: A male pheromone? A brief report. Ethology and Sociobiology. 1993;14:201–208.

Grossman, 1985 15.Grossman CJ. Interaction between the gonadal steroids and the immune system. Science. 1985;227:257–261. MEDLINE

Hollien, 1960 16.Hollien H. Some laryngeal correlates of vocal pitch. Journal of Speech and Hearing Research. 1960;3:52–58. MEDLINE

Hughes et al., 2004 17.Hughes SM, Dispenza F, Gallup GG. Ratings of vocal attractiveness predict sexual behavior and body configuration. Evolution and Human Behavior. 2004;25:295–304.

Hughes et al., 2002 18.Hughes SM, Harrison MA, Gallup GG. The sound of symmetry: Voice as a marker of developmental stability. Evolution and Human Behavior. 2002;23:173–180.

Johnston et al., 2001 19.Johnston VS, Hagel R, Franklin M, Fink B, Grammer K. Male facial attractiveness: Evidence for hormone-mediated adaptive design. Evolution and Human Behavior. 2001;22:251–267.

Klatt & Klatt, 1990 20.Klatt DH, Klatt LC. Analysis, synthesis and perception of voice quality variations in the male and female glottal wave. Journal of the Acoustical Society of America. 1990;87:820–857. MEDLINE | CrossRef

Need et al., 1993 21.Need AG, Durbridge TC, Nordin BE. Anabolic steroids in postmenopausal osteoporosis. Wiener Medizinische Wochenschrift. 1993;143:392–395.

Norris, 1993 22.Norris K. Heritable variation in a plumage indicator of viability in male great tits Parus major. Nature. 1993;362:537–539. CrossRef

Oguchi & Kikuchi, 1997 23.Oguchi T, Kikuchi H. Voice and interpersonal attraction. Japanese Psychological Research. 1997;39:56–61.

Ohala, 1982 24.Ohala JJ. The voice of dominance. Journal of the Acoustical Society of America. 1982;72:S66. CrossRef

Ohala, 1983 25.Ohala JJ. Cross-language use of pitch: An ethological view. Phonetica. 1983;40:1–18. MEDLINE

Ohala, 1984 26.Ohala JJ. An ethological perspective on common cross-language utilization of F0 of voice. Phonetica. 1984;41:1–16. MEDLINE

Penton-Voak & Perrett, 2000 27.Penton-Voak IS, Perrett DI. Female preference for male faces changes cyclically: Further evidence. Evolution and Human Behavior. 2000;21:39–48.

Penton-Voak & Perrett, 2001 28.Penton-Voak IS, Perrett DI. Male facial attractiveness: Perceived personality and shifting female preferences for male traits across the menstrual cycle. Advances in the Study of Behavior. 2001;30:219–259.

Penton-Voak et al., 1999 29.Penton-Voak IS, Perrett D, Castles D, Burt M, Koyabashi T, Murray LK. Female preferences for male faces change cyclically. Nature. 1999;399:741–742. MEDLINE | CrossRef

Pérusse, 1993 30.Pérusse D. Cultural and reproductive success in industrial societies: Testing the relationship at the proximate and ultimate levels. Behavioral and Brain Sciences. 1993;16:267–322.

Puts, 2003 31.Puts DA. An evolutionary look at marriage and parenthood. In:  Puts DA editors. Human sexuality: A holistic approach. Dubuque, IA: Kendall/Hunt; 2003;p. 261–274.

Puts, in press 32.Puts, D. A. (in press). Cyclic variation in women's preferences for masculine traits: Potential hormonal causes. Human Nature.

Puts et al., 2004 33.Puts DA, Gaulin SJC, Sporter RJ, McBurney DH. Sex hormones and finger length: What does 2D:4D indicate?. Evolution and Human Behavior. 2004;25:182–199.

Puts, in review 34.Puts, D. A., Gaulin, S. J. C., Verdolini, K. (in review). Dominance and the evolution of low voice pitch in men. Evolution and Human Behavior.

Reynolds & Gross, 1992 35.Reynolds JD, Gross MR. Female mate preference enhances offspring growth and reproduction in a fish, Poecilia reticulata. Proceedings of the Royal Society of London B. 1992;250:57–62.

Robertson, 1990 36.Robertson JGM. Female choice increases fertilization success in the Australian frog Uperoleia laevigata. Animal Behaviour. 1990;39:639–645. CrossRef

Scheib et al., 2003 37.Scheib JE, Gangestad SW, Thornhill R. Facial attractiveness, symmetry, and cues of good genes. Proceedings of the Royal Society of London B. 2003;266:1913–1917.

Schwartz et al., 1980 38.Schwartz D, MacDonald PDM, Heuchel V. Fecundability, coital frequency and the viability of ova. Population Studies. 1980;34:397–400. CrossRef

Simpson et al., 1999 39.Simpson JA, Gangestad SW, Christensen PN, Leck K. Fluctuating asymmetry, sociosexuality, and intrasexual competitive tactics. Journal of Personality and Social Psychology. 1999;76:159–172. MEDLINE | CrossRef

Titze, 2000 40.Titze IR. Principles of voice production. Iowa City, IA: National Center for Voice and Speech; 2000;.

Wilcox et al., 1995 41.Wilcox AJ, Weinberg CR, Baird DD. Timing of sexual intercourse in relation to ovulation: Effects on the probability of conception, survival of the pregnancy, and sex of the baby. New England Journal of Medicine. 1995;333:1517–1521. MEDLINE | CrossRef

Wilcox et al., 1998 42.Wilcox AJ, Weinberg CR, Baird DD. Post-ovulatory ageing of the human oocyte and embryo failure. Human Reproduction. 1998;13:394–397. MEDLINE

Williams, 1966 43.Williams GC. Adaptation and natural selection. Princeton, NJ: Princeton University Press; 1966;.

Zahavi & Zahavi, 1997 44.Zahavi A, Zahavi A. The handicap principle. New York: Oxford University Press; 1997;.

Department of Anthropology, University of Pittsburgh, Pittsburgh, PA 15260, USA

Tel.: +1 517 896 9017; fax: +1 517 432 2744.

 Note. A previous version of this paper received the 2004 New Young Investigator award from the Human Behavior and Evolution Society.

1 Current address: Neuroscience Program, 108 Giltner Hall, Michigan State University, East Lansing, MI 48824, USA.

PII: S1090-5138(05)00017-6

doi:10.1016/j.evolhumbehav.2005.03.001



2007:11:26